Kuehl -- Example 5.1 -- Casting/Strength The MEANS Procedure Analysis Variable : strength N cast Obs Mean Std Dev --------------------------------------------------- 1 10 90.3700000 2.8690107 2 10 88.4300000 2.4563071 3 10 93.8000000 1.7863681 --------------------------------------------------- Kuehl -- Example 5.1 -- Casting/Strength The GLM Procedure Class Level Information Class Levels Values cast 3 1 2 3 Number of Observations Read 30 Number of Observations Used 30 Kuehl -- Example 5.1 -- Casting/Strength The GLM Procedure Dependent Variable: strength Sum of Source DF Squares Mean Square F Value Pr > F Model 2 147.8846667 73.9423333 12.71 0.0001 Error 27 157.1020000 5.8185926 Corrected Total 29 304.9866667 R-Square Coeff Var Root MSE strength Mean 0.484889 2.654632 2.412176 90.86667 Source DF Type I SS Mean Square F Value Pr > F cast 2 147.8846667 73.9423333 12.71 0.0001 Source DF Type III SS Mean Square F Value Pr > F cast 2 147.8846667 73.9423333 12.71 0.0001 Kuehl -- Example 5.1 -- Casting/Strength The GLM Procedure Source Type III Expected Mean Square cast Var(Error) + 10 Var(cast) Kuehl -- Example 5.1 -- Casting/Strength Variance Components Estimation Procedure Class Level Information Class Levels Values cast 3 1 2 3 Number of Observations Read 30 Number of Observations Used 30 Dependent Variable: strength Type 1 Analysis of Variance Sum of Source DF Squares Mean Square cast 2 147.884667 73.942333 Error 27 157.102000 5.818593 Corrected Total 29 304.986667 Type 1 Analysis of Variance Source Expected Mean Square cast Var(Error) + 10 Var(cast) Error Var(Error) Corrected Total Type 1 Estimates Variance Component Estimate Var(cast) 6.81237 Var(Error) 5.81859 Kuehl -- Example 5.1 -- Casting/Strength The Mixed Procedure Model Information Data Set WORK.CASTING Dependent Variable strength Covariance Structure Variance Components Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Containment Class Level Information Class Levels Values cast 3 1 2 3 Dimensions Covariance Parameters 2 Columns in X 1 Columns in Z 3 Subjects 1 Max Obs Per Subject 30 Number of Observations Number of Observations Read 30 Number of Observations Used 30 Number of Observations Not Used 0 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 153.93582697 1 1 141.85478040 0.00000000 Convergence criteria met. Kuehl -- Example 5.1 -- Casting/Strength The Mixed Procedure Covariance Parameter Estimates Cov Parm Estimate cast 6.8124 Residual 5.8186 Fit Statistics -2 Res Log Likelihood 141.9 AIC (smaller is better) 145.9 AICC (smaller is better) 146.3 BIC (smaller is better) 144.1